Related to but distinct from our work is Incremental Few-Shot Learning [1]}, [2]} also known as Low-Shot Learning [3]} or Generalised Few-Shot Learning [4]}, [5]} which is an extension of FSL. It considers maintaining performance on base classes (meta-training dataset) while incrementally learning about novel classes using limited data, typically without re-training from all data from scratch. To limit the number of variables and accommodate the design of FSL methods investigated in this report, we focus on novel classes only; therefore, we do not consider the Incremental FSL setting in this work.
